# Numeric Precision Comparisons — Record Quality Audit + Numeric Distribution

> Numeric Precision Comparisons — Record Quality Audit + Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Runs two analytical reports (record quality audit and numeric distribution) on up to 200 rows of paired source/transformed numeric values, entirely offline with no external lookups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-20-004?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/numeric-precision-comparisons-record-quality-audit-numeric-distribution-eb1e27bc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_l5O9y5l-ORSn_iqtxzzL0

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability numeric-precision-comparisons-record-quality-audit-numeric-distribution-eb1e27bc -d '<json body>'
```

Example prompt: Can you run a record quality audit and numeric distribution report on these 50 rows of source and transformed values from my group-a pipeline dated 2025-06-01 through 2025-06-10 — I want to check the source_value field for quality issues and distribution patterns?

## When to prefer this

Choose this endpoint when you need a fast, offline, dual-report analysis of paired numeric values (source vs. transformed) without any live data lookups or external API calls. It is ideal for ETL validation, data quality audits before publishing, or distribution profiling of up to 200 rows. Prefer it over general-purpose analytics when you specifically need both a quality audit and a distribution summary in a single cost-effective call at $0.01 USDC.

## Known failure modes

- More than 200 rows submitted — endpoint enforces a 200-row maximum
- Missing required fields (row_id, dataset_group, date, source_value, transformed_value) on any row causes validation failure
- Date field not in YYYY-MM-DD format causes schema rejection
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array (minItems: 1 not met) returns error
- Payment of 0.01 USDC not included or fails — request is rejected with 402

## How this service works

Numeric precision comparisons — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution for supplied numeric precision comparisons records (source_value, transformed_value). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Returns two independent analytical reports: (1) a record quality audit covering issues such as null values, out-of-range values, and data completeness across the supplied rows; and (2) a numeric distribution report covering statistical spread (e.g. min, max, mean, percentiles, skew) for the selected field — all computed locally from the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "source_value",
     "transformed_value"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "source_value": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "transformed_value": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "source_value": 10,
     "dataset_group": "group-a",
     "transformed_value": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "source_value": 20,
     "dataset_group": "group-b",
     "transformed_value": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "source_value": 15,
     "dataset_group": "group-a",
     "transformed_value": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "source_value": 30,
     "dataset_group": "group-b",
     "transformed_value": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "source_value",
    "transformed_value"
   ],
   "type": "string",
   "default": "source_value"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/numeric-precision-comparisons-record-quality-audit-numeric-distribution-eb1e27bc/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)